Open AccessRelationship between Shukra Sara Purusha with Quality of Semen: A Pilot Study
Author(s) -
Nikhate Sunil P.,
Raole Vaidehi P.,
Karemore Shruti
Publication year - 2021
Publication title -
journal of pharmaceutical research international
Language(s) - English
Resource type - Journals
ISSN - 2456-9119
DOI - 10.9734/jpri/2021/v33i60b34811
Subject(s) - semen quality , semen , sperm , biology , reproduction , infertility , sperm quality , andrology , semen analysis , fertility , sperm motility , physiology , medicine , pregnancy , population , ecology , genetics , environmental health
Dhatu sarata is an excellent state for any particular dhatu (tissue). Shukra dhatu (Reproductive tissue) is one of the seven dhatu reflects reproductive health. Garbhotpadan (reproduction) is main function of Shukra dhatu (Reproductive tissue). Characteristics future of shukra (Semen) is given by ayurvedacharya and this quality of shukra (Semen) said to be best for fertility. Shukta dhatu (Semen) can be correlated with semen. Its quality and quantity affects reproduction and any deformity is lead to infertility in male. Pilot study was conducted to find out relationship between Shukta dhatu sarata and quality of semen. An observational pilot study conducted on apparently healthy volunteers. 30 male volunteers of age group 25-35 yearr were selected and their Shukra dhatu sarata (Supreme quality of Reproductive tissue) were assessed with standard proforma. Then categorized into Uttam (supreme), Madhayama (Moderate) & Hina (Average) sara on the basis of presence number of characteristics. Semen analysis i.e. semen volume, total sperm count, sperm motility is done in laboratory of same individuals. Higher Sperm count, good Sperm motility and high semen volume are found in Uttam Shukradhatusara (Supreme quality of Reproductive tissue) individuals as compare to hina shukradhatusara (Average quality of Reproductive tissue) individuals. It is not possible to come to any conclusion as this was pilot study. Further study should be conducted on large sample size.